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to the table Strong understanding and practical experience in software development and design. Proficient in abstract and structural thinking, with the ability to solve complex problems. Excellent programming
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you will do These duties await you ... Power systems keep increasing in size and complexity, posing a major modelling challenge. When dealing with truly large-scale systems, we can use approximations
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TU Dresden Excellence – A matter close to our hearts Excellence? Elitism? Opportunity or risk? The Excellence Programme, initially launched in 2005 by the German government has aroused passionate
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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ranges from nucleation to strong interfacial heat and mass flow coupling, it is still a forefront research area with many challenges ahead because of its multiscale nature. LPC adds further complexities by
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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from
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previous inputs and generates new inputs to cover new code areas through complex analyses. We are building a modern fuzzing infrastructure using the latest fuzzers and techniques. We need your support! What
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storage Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website